Overview

Brought to you by YData

Dataset statistics

Number of variables17
Number of observations22100
Missing cells7437
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.3 MiB
Average record size in memory1.6 KiB

Variable types

Numeric5
Text6
Categorical5
DateTime1

Alerts

City is highly overall correlated with State and 1 other fieldsHigh correlation
Latitude is highly overall correlated with StateHigh correlation
Longitude is highly overall correlated with StateHigh correlation
State is highly overall correlated with City and 3 other fieldsHigh correlation
Zip is highly overall correlated with City and 1 other fieldsHigh correlation
Risk is highly imbalanced (54.4%) Imbalance
City is highly imbalanced (99.0%) Imbalance
State is highly imbalanced (99.8%) Imbalance
Violations has 6967 (31.5%) missing values Missing
Inspection ID has unique values Unique

Reproduction

Analysis started2025-04-14 23:02:22.427764
Analysis finished2025-04-14 23:02:36.289168
Duration13.86 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Inspection ID
Real number (ℝ)

Unique 

Distinct22100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2599871.1
Minimum2587554
Maximum2613137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.8 KiB
2025-04-14T23:02:36.853379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2587554
5-th percentile2588669
Q12593116.8
median2598683.5
Q32607230.2
95-th percentile2611695
Maximum2613137
Range25583
Interquartile range (IQR)14113.5

Descriptive statistics

Standard deviation7635.1829
Coefficient of variation (CV)0.0029367543
Kurtosis-1.3099272
Mean2599871.1
Median Absolute Deviation (MAD)6560
Skewness0.098690978
Sum5.7457152 × 1010
Variance58296017
MonotonicityNot monotonic
2025-04-14T23:02:36.997232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2610068 1
 
< 0.1%
2608378 1
 
< 0.1%
2609909 1
 
< 0.1%
2609927 1
 
< 0.1%
2610462 1
 
< 0.1%
2610884 1
 
< 0.1%
2610890 1
 
< 0.1%
2610827 1
 
< 0.1%
2610874 1
 
< 0.1%
2610803 1
 
< 0.1%
Other values (22090) 22090
> 99.9%
ValueCountFrequency (%)
2587554 1
< 0.1%
2587555 1
< 0.1%
2587558 1
< 0.1%
2587559 1
< 0.1%
2587561 1
< 0.1%
2587562 1
< 0.1%
2587563 1
< 0.1%
2587564 1
< 0.1%
2587565 1
< 0.1%
2587566 1
< 0.1%
ValueCountFrequency (%)
2613137 1
< 0.1%
2613134 1
< 0.1%
2613132 1
< 0.1%
2613130 1
< 0.1%
2613121 1
< 0.1%
2613120 1
< 0.1%
2613119 1
< 0.1%
2613118 1
< 0.1%
2613117 1
< 0.1%
2613115 1
< 0.1%
Distinct10742
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
2025-04-14T23:02:37.309954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length57
Median length43
Mean length18.894751
Min length1

Characters and Unicode

Total characters417574
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5049 ?
Unique (%)22.8%

Sample

1st rowBabas Halal
2nd rowHAPPY MARKET
3rd rowSAT KAIVAL FOOD INC/SUBWAY
4th rowDANCEN GRILL RESTAURANT, INC.
5th rowMARYS TAQUERIA AND GROCERY STORE, INC.
ValueCountFrequency (%)
2075
 
3.1%
inc 1802
 
2.7%
restaurant 1085
 
1.6%
the 982
 
1.4%
llc 841
 
1.2%
chicago 811
 
1.2%
food 747
 
1.1%
cafe 720
 
1.1%
and 649
 
1.0%
school 574
 
0.8%
Other values (9075) 57648
84.9%
2025-04-14T23:02:37.773211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46122
 
11.0%
A 34696
 
8.3%
E 34374
 
8.2%
O 24477
 
5.9%
I 24307
 
5.8%
R 24221
 
5.8%
S 22914
 
5.5%
N 22697
 
5.4%
T 20738
 
5.0%
C 19910
 
4.8%
Other values (70) 143118
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 417574
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
46122
 
11.0%
A 34696
 
8.3%
E 34374
 
8.2%
O 24477
 
5.9%
I 24307
 
5.8%
R 24221
 
5.8%
S 22914
 
5.5%
N 22697
 
5.4%
T 20738
 
5.0%
C 19910
 
4.8%
Other values (70) 143118
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 417574
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
46122
 
11.0%
A 34696
 
8.3%
E 34374
 
8.2%
O 24477
 
5.9%
I 24307
 
5.8%
R 24221
 
5.8%
S 22914
 
5.5%
N 22697
 
5.4%
T 20738
 
5.0%
C 19910
 
4.8%
Other values (70) 143118
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 417574
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
46122
 
11.0%
A 34696
 
8.3%
E 34374
 
8.2%
O 24477
 
5.9%
I 24307
 
5.8%
R 24221
 
5.8%
S 22914
 
5.5%
N 22697
 
5.4%
T 20738
 
5.0%
C 19910
 
4.8%
Other values (70) 143118
34.3%
Distinct10426
Distinct (%)47.2%
Missing27
Missing (%)0.1%
Memory size1.6 MiB
2025-04-14T23:02:38.155927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length57
Median length44
Mean length17.833009
Min length2

Characters and Unicode

Total characters393628
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4874 ?
Unique (%)22.1%

Sample

1st rowBabas Halal
2nd rowHAPPY MARKET
3rd rowSAT KAIVAL FOOD INC/SUBWAY
4th rowDANCEN
5th rowMARYS FOOD AND GROCERY STORE
ValueCountFrequency (%)
1864
 
2.9%
restaurant 990
 
1.6%
the 946
 
1.5%
cafe 778
 
1.2%
inc 775
 
1.2%
food 720
 
1.1%
school 653
 
1.0%
and 635
 
1.0%
chicago 563
 
0.9%
grill 556
 
0.9%
Other values (8822) 55342
86.7%
2025-04-14T23:02:38.693709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42098
 
10.7%
A 33706
 
8.6%
E 33439
 
8.5%
O 23369
 
5.9%
R 23123
 
5.9%
S 22362
 
5.7%
I 22311
 
5.7%
N 20821
 
5.3%
T 19914
 
5.1%
C 17663
 
4.5%
Other values (70) 134822
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 393628
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
42098
 
10.7%
A 33706
 
8.6%
E 33439
 
8.5%
O 23369
 
5.9%
R 23123
 
5.9%
S 22362
 
5.7%
I 22311
 
5.7%
N 20821
 
5.3%
T 19914
 
5.1%
C 17663
 
4.5%
Other values (70) 134822
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 393628
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
42098
 
10.7%
A 33706
 
8.6%
E 33439
 
8.5%
O 23369
 
5.9%
R 23123
 
5.9%
S 22362
 
5.7%
I 22311
 
5.7%
N 20821
 
5.3%
T 19914
 
5.1%
C 17663
 
4.5%
Other values (70) 134822
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 393628
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
42098
 
10.7%
A 33706
 
8.6%
E 33439
 
8.5%
O 23369
 
5.9%
R 23123
 
5.9%
S 22362
 
5.7%
I 22311
 
5.7%
N 20821
 
5.3%
T 19914
 
5.1%
C 17663
 
4.5%
Other values (70) 134822
34.3%

License #
Real number (ℝ)

Distinct12857
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2207427.2
Minimum0
Maximum4080354
Zeros58
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size172.8 KiB
2025-04-14T23:02:38.824793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23631
Q12022121
median2548869.5
Q32862899
95-th percentile2988181
Maximum4080354
Range4080354
Interquartile range (IQR)840778

Descriptive statistics

Standard deviation937408.76
Coefficient of variation (CV)0.42466123
Kurtosis0.93014815
Mean2207427.2
Median Absolute Deviation (MAD)352378.5
Skewness-1.4397883
Sum4.8784141 × 1010
Variance8.7873519 × 1011
MonotonicityNot monotonic
2025-04-14T23:02:38.958324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
 
0.3%
2470443 11
 
< 0.1%
1196816 10
 
< 0.1%
25159 9
 
< 0.1%
1362 9
 
< 0.1%
2307748 9
 
< 0.1%
2551804 9
 
< 0.1%
2856839 8
 
< 0.1%
2906744 8
 
< 0.1%
2510903 8
 
< 0.1%
Other values (12847) 21961
99.4%
ValueCountFrequency (%)
0 58
0.3%
149 3
 
< 0.1%
164 1
 
< 0.1%
207 2
 
< 0.1%
257 3
 
< 0.1%
276 1
 
< 0.1%
319 3
 
< 0.1%
349 2
 
< 0.1%
404 1
 
< 0.1%
429 1
 
< 0.1%
ValueCountFrequency (%)
4080354 1
< 0.1%
4080337 1
< 0.1%
4080235 1
< 0.1%
4079753 1
< 0.1%
4079523 2
< 0.1%
4076728 1
< 0.1%
4076132 2
< 0.1%
4075924 1
< 0.1%
4075688 1
< 0.1%
4075687 1
< 0.1%
Distinct149
Distinct (%)0.7%
Missing131
Missing (%)0.6%
Memory size1.4 MiB
2025-04-14T23:02:39.227575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length38
Median length10
Mean length11.160635
Min length5

Characters and Unicode

Total characters245188
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)0.3%

Sample

1st rowRestaurant
2nd rowGrocery Store
3rd rowRestaurant
4th rowRestaurant
5th rowRestaurant
ValueCountFrequency (%)
restaurant 15677
53.7%
store 2107
 
7.2%
grocery 2102
 
7.2%
school 1511
 
5.2%
facility 748
 
2.6%
services 744
 
2.6%
children's 740
 
2.5%
daycare 493
 
1.7%
2 464
 
1.6%
years 463
 
1.6%
Other values (169) 4125
 
14.1%
2025-04-14T23:02:39.603360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 34866
14.2%
t 34599
14.1%
r 26425
10.8%
e 25608
10.4%
s 17862
7.3%
n 17781
7.3%
R 16011
 
6.5%
u 15777
 
6.4%
o 8449
 
3.4%
7205
 
2.9%
Other values (53) 40605
16.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 245188
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 34866
14.2%
t 34599
14.1%
r 26425
10.8%
e 25608
10.4%
s 17862
7.3%
n 17781
7.3%
R 16011
 
6.5%
u 15777
 
6.4%
o 8449
 
3.4%
7205
 
2.9%
Other values (53) 40605
16.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 245188
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 34866
14.2%
t 34599
14.1%
r 26425
10.8%
e 25608
10.4%
s 17862
7.3%
n 17781
7.3%
R 16011
 
6.5%
u 15777
 
6.4%
o 8449
 
3.4%
7205
 
2.9%
Other values (53) 40605
16.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 245188
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 34866
14.2%
t 34599
14.1%
r 26425
10.8%
e 25608
10.4%
s 17862
7.3%
n 17781
7.3%
R 16011
 
6.5%
u 15777
 
6.4%
o 8449
 
3.4%
7205
 
2.9%
Other values (53) 40605
16.6%

Risk
Categorical

Imbalance 

Distinct4
Distinct (%)< 0.1%
Missing12
Missing (%)0.1%
Memory size1.5 MiB
Risk 1 (High)
17522 
Risk 2 (Medium)
3387 
Risk 3 (Low)
 
1162
All
 
17

Length

Max length15
Median length13
Mean length13.246378
Min length3

Characters and Unicode

Total characters292586
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRisk 1 (High)
2nd rowRisk 2 (Medium)
3rd rowRisk 1 (High)
4th rowRisk 1 (High)
5th rowRisk 1 (High)

Common Values

ValueCountFrequency (%)
Risk 1 (High) 17522
79.3%
Risk 2 (Medium) 3387
 
15.3%
Risk 3 (Low) 1162
 
5.3%
All 17
 
0.1%
(Missing) 12
 
0.1%

Length

2025-04-14T23:02:39.707095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:02:39.773741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
risk 22071
33.3%
1 17522
26.5%
high 17522
26.5%
2 3387
 
5.1%
medium 3387
 
5.1%
3 1162
 
1.8%
low 1162
 
1.8%
all 17
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
44142
15.1%
i 42980
14.7%
R 22071
7.5%
s 22071
7.5%
k 22071
7.5%
( 22071
7.5%
) 22071
7.5%
1 17522
 
6.0%
H 17522
 
6.0%
g 17522
 
6.0%
Other values (13) 42543
14.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 292586
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
44142
15.1%
i 42980
14.7%
R 22071
7.5%
s 22071
7.5%
k 22071
7.5%
( 22071
7.5%
) 22071
7.5%
1 17522
 
6.0%
H 17522
 
6.0%
g 17522
 
6.0%
Other values (13) 42543
14.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 292586
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
44142
15.1%
i 42980
14.7%
R 22071
7.5%
s 22071
7.5%
k 22071
7.5%
( 22071
7.5%
) 22071
7.5%
1 17522
 
6.0%
H 17522
 
6.0%
g 17522
 
6.0%
Other values (13) 42543
14.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 292586
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
44142
15.1%
i 42980
14.7%
R 22071
7.5%
s 22071
7.5%
k 22071
7.5%
( 22071
7.5%
) 22071
7.5%
1 17522
 
6.0%
H 17522
 
6.0%
g 17522
 
6.0%
Other values (13) 42543
14.5%
Distinct13378
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
2025-04-14T23:02:40.036205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length52
Median length40
Mean length18.386878
Min length10

Characters and Unicode

Total characters406350
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8348 ?
Unique (%)37.8%

Sample

1st row7901 S DAMEN AVE
2nd row2334 S WENTWORTH AVE
3rd row1916 S STATE ST
4th row5114 N LINCOLN AVE
5th row1901 S CANALPORT AVE
ValueCountFrequency (%)
ave 10393
 
11.6%
w 8644
 
9.6%
st 7908
 
8.8%
n 6665
 
7.4%
s 4937
 
5.5%
e 1841
 
2.1%
rd 1324
 
1.5%
clark 732
 
0.8%
western 574
 
0.6%
halsted 554
 
0.6%
Other values (6333) 46055
51.4%
2025-04-14T23:02:40.443534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81992
20.2%
E 25589
 
6.3%
A 23942
 
5.9%
S 20251
 
5.0%
N 17379
 
4.3%
1 16999
 
4.2%
T 16964
 
4.2%
0 13465
 
3.3%
R 13457
 
3.3%
W 12728
 
3.1%
Other values (59) 163584
40.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 406350
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
81992
20.2%
E 25589
 
6.3%
A 23942
 
5.9%
S 20251
 
5.0%
N 17379
 
4.3%
1 16999
 
4.2%
T 16964
 
4.2%
0 13465
 
3.3%
R 13457
 
3.3%
W 12728
 
3.1%
Other values (59) 163584
40.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 406350
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
81992
20.2%
E 25589
 
6.3%
A 23942
 
5.9%
S 20251
 
5.0%
N 17379
 
4.3%
1 16999
 
4.2%
T 16964
 
4.2%
0 13465
 
3.3%
R 13457
 
3.3%
W 12728
 
3.1%
Other values (59) 163584
40.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 406350
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
81992
20.2%
E 25589
 
6.3%
A 23942
 
5.9%
S 20251
 
5.0%
N 17379
 
4.3%
1 16999
 
4.2%
T 16964
 
4.2%
0 13465
 
3.3%
R 13457
 
3.3%
W 12728
 
3.1%
Other values (59) 163584
40.3%

City
Categorical

High correlation  Imbalance 

Distinct26
Distinct (%)0.1%
Missing25
Missing (%)0.1%
Memory size1.3 MiB
CHICAGO
21994 
Chicago
 
40
chicago
 
10
CCHICAGO
 
4
EVANSTON
 
3
Other values (21)
 
24

Length

Max length15
Median length7
Mean length7.0023556
Min length2

Characters and Unicode

Total characters154577
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.1%

Sample

1st rowCHICAGO
2nd rowCHICAGO
3rd rowCHICAGO
4th rowCHICAGO
5th rowCHICAGO

Common Values

ValueCountFrequency (%)
CHICAGO 21994
99.5%
Chicago 40
 
0.2%
chicago 10
 
< 0.1%
CCHICAGO 4
 
< 0.1%
EVANSTON 3
 
< 0.1%
CHICAGO. 2
 
< 0.1%
312CHICAGO 2
 
< 0.1%
BERWYN 2
 
< 0.1%
BROOKFIELD 1
 
< 0.1%
EVERGREEN 1
 
< 0.1%
Other values (16) 16
 
0.1%
(Missing) 25
 
0.1%

Length

2025-04-14T23:02:40.560591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
chicago 22047
99.9%
cchicago 4
 
< 0.1%
evanston 3
 
< 0.1%
312chicago 2
 
< 0.1%
berwyn 2
 
< 0.1%
park 2
 
< 0.1%
evergreen 1
 
< 0.1%
brookfield 1
 
< 0.1%
highland 1
 
< 0.1%
plainfield 1
 
< 0.1%
Other values (14) 14
 
0.1%

Most occurring characters

ValueCountFrequency (%)
C 44056
28.5%
A 22019
14.2%
I 22016
14.2%
O 22015
14.2%
H 22010
14.2%
G 22009
14.2%
c 61
 
< 0.1%
i 51
 
< 0.1%
a 51
 
< 0.1%
o 51
 
< 0.1%
Other values (23) 238
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 154577
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
C 44056
28.5%
A 22019
14.2%
I 22016
14.2%
O 22015
14.2%
H 22010
14.2%
G 22009
14.2%
c 61
 
< 0.1%
i 51
 
< 0.1%
a 51
 
< 0.1%
o 51
 
< 0.1%
Other values (23) 238
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 154577
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
C 44056
28.5%
A 22019
14.2%
I 22016
14.2%
O 22015
14.2%
H 22010
14.2%
G 22009
14.2%
c 61
 
< 0.1%
i 51
 
< 0.1%
a 51
 
< 0.1%
o 51
 
< 0.1%
Other values (23) 238
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 154577
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
C 44056
28.5%
A 22019
14.2%
I 22016
14.2%
O 22015
14.2%
H 22010
14.2%
G 22009
14.2%
c 61
 
< 0.1%
i 51
 
< 0.1%
a 51
 
< 0.1%
o 51
 
< 0.1%
Other values (23) 238
 
0.2%

State
Categorical

High correlation  Imbalance 

Distinct3
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Memory size1.2 MiB
IL
22091 
IN
 
3
CO
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters44190
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowIL
2nd rowIL
3rd rowIL
4th rowIL
5th rowIL

Common Values

ValueCountFrequency (%)
IL 22091
> 99.9%
IN 3
 
< 0.1%
CO 1
 
< 0.1%
(Missing) 5
 
< 0.1%

Length

2025-04-14T23:02:40.656347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:02:40.719720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
il 22091
> 99.9%
in 3
 
< 0.1%
co 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
I 22094
50.0%
L 22091
50.0%
N 3
 
< 0.1%
C 1
 
< 0.1%
O 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 44190
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
I 22094
50.0%
L 22091
50.0%
N 3
 
< 0.1%
C 1
 
< 0.1%
O 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 44190
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
I 22094
50.0%
L 22091
50.0%
N 3
 
< 0.1%
C 1
 
< 0.1%
O 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 44190
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
I 22094
50.0%
L 22091
50.0%
N 3
 
< 0.1%
C 1
 
< 0.1%
O 1
 
< 0.1%

Zip
Real number (ℝ)

High correlation 

Distinct74
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60628.178
Minimum46322
Maximum80439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.8 KiB
2025-04-14T23:02:40.806671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum46322
5-th percentile60606
Q160614
median60625
Q360643
95-th percentile60659
Maximum80439
Range34117
Interquartile range (IQR)29

Descriptive statistics

Standard deviation213.94105
Coefficient of variation (CV)0.0035287396
Kurtosis5995.9407
Mean60628.178
Median Absolute Deviation (MAD)14
Skewness-4.1692174
Sum1.3398827 × 109
Variance45770.773
MonotonicityNot monotonic
2025-04-14T23:02:40.939626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60614 868
 
3.9%
60611 801
 
3.6%
60616 765
 
3.5%
60647 737
 
3.3%
60657 719
 
3.3%
60608 714
 
3.2%
60622 706
 
3.2%
60618 690
 
3.1%
60625 657
 
3.0%
60607 634
 
2.9%
Other values (64) 14809
67.0%
ValueCountFrequency (%)
46322 1
 
< 0.1%
46410 2
< 0.1%
60030 1
 
< 0.1%
60035 1
 
< 0.1%
60076 1
 
< 0.1%
60201 3
< 0.1%
60302 1
 
< 0.1%
60402 2
< 0.1%
60443 1
 
< 0.1%
60459 1
 
< 0.1%
ValueCountFrequency (%)
80439 1
 
< 0.1%
60827 12
 
0.1%
60707 172
 
0.8%
60666 314
1.4%
60661 214
 
1.0%
60660 333
1.5%
60659 403
1.8%
60657 719
3.3%
60656 77
 
0.3%
60655 129
 
0.6%
Distinct289
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size172.8 KiB
Minimum2024-01-02 00:00:00
Maximum2025-03-05 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-04-14T23:02:41.062937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:41.212710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Type
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Canvass
11585 
License
2807 
Canvass Re-Inspection
2729 
Complaint
1861 
Non-Inspection
1328 
Other values (7)
1790 

Length

Max length24
Median length7
Mean length10.49543
Min length7

Characters and Unicode

Total characters231949
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowComplaint
2nd rowCanvass
3rd rowCanvass
4th rowNon-Inspection
5th rowCanvass

Common Values

ValueCountFrequency (%)
Canvass 11585
52.4%
License 2807
 
12.7%
Canvass Re-Inspection 2729
 
12.3%
Complaint 1861
 
8.4%
Non-Inspection 1328
 
6.0%
Complaint Re-Inspection 759
 
3.4%
License Re-Inspection 621
 
2.8%
Short Form Complaint 357
 
1.6%
Recent Inspection 43
 
0.2%
Suspected Food Poisoning 6
 
< 0.1%
Other values (2) 4
 
< 0.1%

Length

2025-04-14T23:02:41.343340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
canvass 14314
53.1%
re-inspection 4109
 
15.2%
license 3428
 
12.7%
complaint 2977
 
11.0%
non-inspection 1328
 
4.9%
short 357
 
1.3%
form 357
 
1.3%
recent 43
 
0.2%
inspection 43
 
0.2%
suspected 6
 
< 0.1%
Other values (5) 18
 
0.1%

Most occurring characters

ValueCountFrequency (%)
s 37550
16.2%
n 33066
14.3%
a 31609
13.6%
C 17293
7.5%
e 16545
7.1%
v 14314
 
6.2%
i 11899
 
5.1%
o 10529
 
4.5%
c 8957
 
3.9%
t 8869
 
3.8%
Other values (18) 41318
17.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 231949
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 37550
16.2%
n 33066
14.3%
a 31609
13.6%
C 17293
7.5%
e 16545
7.1%
v 14314
 
6.2%
i 11899
 
5.1%
o 10529
 
4.5%
c 8957
 
3.9%
t 8869
 
3.8%
Other values (18) 41318
17.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 231949
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 37550
16.2%
n 33066
14.3%
a 31609
13.6%
C 17293
7.5%
e 16545
7.1%
v 14314
 
6.2%
i 11899
 
5.1%
o 10529
 
4.5%
c 8957
 
3.9%
t 8869
 
3.8%
Other values (18) 41318
17.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 231949
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 37550
16.2%
n 33066
14.3%
a 31609
13.6%
C 17293
7.5%
e 16545
7.1%
v 14314
 
6.2%
i 11899
 
5.1%
o 10529
 
4.5%
c 8957
 
3.9%
t 8869
 
3.8%
Other values (18) 41318
17.8%

Results
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
Pass
11555 
Fail
4049 
Pass w/ Conditions
2891 
Out of Business
1592 
No Entry
1539 
Other values (2)
 
474

Length

Max length20
Median length4
Mean length7.0130769
Min length4

Characters and Unicode

Total characters154989
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFail
2nd rowPass w/ Conditions
3rd rowPass
4th rowNo Entry
5th rowPass

Common Values

ValueCountFrequency (%)
Pass 11555
52.3%
Fail 4049
 
18.3%
Pass w/ Conditions 2891
 
13.1%
Out of Business 1592
 
7.2%
No Entry 1539
 
7.0%
Not Ready 467
 
2.1%
Business Not Located 7
 
< 0.1%

Length

2025-04-14T23:02:41.462251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:02:41.554953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
pass 14446
43.7%
fail 4049
 
12.2%
w 2891
 
8.7%
conditions 2891
 
8.7%
business 1599
 
4.8%
out 1592
 
4.8%
of 1592
 
4.8%
no 1539
 
4.7%
entry 1539
 
4.7%
not 474
 
1.4%
Other values (2) 474
 
1.4%

Most occurring characters

ValueCountFrequency (%)
s 36580
23.6%
a 18969
12.2%
P 14446
 
9.3%
i 11430
 
7.4%
10986
 
7.1%
o 9394
 
6.1%
n 8920
 
5.8%
t 6503
 
4.2%
l 4049
 
2.6%
F 4049
 
2.6%
Other values (16) 29663
19.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 154989
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 36580
23.6%
a 18969
12.2%
P 14446
 
9.3%
i 11430
 
7.4%
10986
 
7.1%
o 9394
 
6.1%
n 8920
 
5.8%
t 6503
 
4.2%
l 4049
 
2.6%
F 4049
 
2.6%
Other values (16) 29663
19.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 154989
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 36580
23.6%
a 18969
12.2%
P 14446
 
9.3%
i 11430
 
7.4%
10986
 
7.1%
o 9394
 
6.1%
n 8920
 
5.8%
t 6503
 
4.2%
l 4049
 
2.6%
F 4049
 
2.6%
Other values (16) 29663
19.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 154989
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 36580
23.6%
a 18969
12.2%
P 14446
 
9.3%
i 11430
 
7.4%
10986
 
7.1%
o 9394
 
6.1%
n 8920
 
5.8%
t 6503
 
4.2%
l 4049
 
2.6%
F 4049
 
2.6%
Other values (16) 29663
19.1%

Violations
Text

Missing 

Distinct15052
Distinct (%)99.5%
Missing6967
Missing (%)31.5%
Memory size18.0 MiB
2025-04-14T23:02:41.901153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length8265
Median length3096
Mean length1160.5906
Min length39

Characters and Unicode

Total characters17563218
Distinct characters93
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14985 ?
Unique (%)99.0%

Sample

1st row1. PERSON IN CHARGE PRESENT, DEMONSTRATES KNOWLEDGE, AND PERFORMS DUTIES - Comments: PIC DOESN'T HAVE A CERTIFIED FOOD MANAGERS CERTIFICATE MUST PROVIDE AND MAINTAIN.(PRIORITY FOUNDATION 7-38-012) | 2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: OBSERVED NO CERTIFIED FOOD MANAGER ON DUTY WHILE TCS FOODS ARE BEING PREPARED, HANDLED, AND SERVED, SUCH AS (FRIED CHICKEN, STEAK, GRILLED CHICKEN, TACOS, ETC.)MUST BE ON SITE AT ALL TIMES. MANAGER ARRIVED ON SITE AT 4:07 P.M. (PRIORITY FOUNDATION 7-38-012)(CITATION ISSUED) | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: THE HAND WASHING SINK WAS NOT ACCESSIBLE; OBSERVED A SMALL PAN AND A SCRUBBER INSIDE OF THE HAND SINK; ARTICLES WERE REMOVED DURING INSPECTION. MUST BE ACCESSIBLE AT ALL TIMES.(PRIORITY FOUNDATION 7-38-030(C)(CITATION ISSUED)(COS) | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO SOAP AT HAND SINK IN FRONT PREP AREA SOAP WAS PROVIDED DURING INSPECTION MUST PROVIDE AND MAINTAIN AT ALL TIMES.(PRIORITY FOUNDATION 7-38-030(C)(COS)(CONSOLIDATED VIOLATION) | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HAND DRYING DEVICES AT HAND SINK IN FRONT PREP AREA, AND STAFF TOILET ROOM PAPER TOWELS WERE PROVIDED DURING INSPECTION. MUST BE PROVIDED AND MAINTAINED AT ALL TIMES.(PRIORITY FOUNDATION 7-38-030(C)(COS)(CONSOLIDATED VIOLATION) | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: MUST PROVIDE A HAND WASHING SIGN IN TOILET ROOM. | 21. PROPER HOT HOLDING TEMPERATURES - Comments: OBSERVED IMPROPER TEMPERATURES OF COOKED FOODS SUCH AS 10 LBS. COOKED CHICKEN AT 121.8F AND 8LBS. SLICED GYROS MEAT-78.3F ON LOWER SHELF OF GRILL TABLE. THE PRODUCT WAS DISCARDED BY THE MANAGER. MUST HAVE HOT HOLDING FOODS AT 135.0F OR ABOVE. APPX. 18LBS. $50. | 22. PROPER COLD HOLDING TEMPERATURES - Comments: OBSERVED IMPROPER TEMPERATURE OF 6LBS.COOKED CHICKEN WINGS AT 61.0F IN WALK-IN COOLER.THE PRODUCT WAS DISCARDED BY THE MANAGER. MUST HAVE COLD-HOLDING FOODS AT 41.0F OR BELOW.APPX. 6LBS. $20.(PRIORITY 7-38-005)(COS)(CONSOLIDATED VIOLATION) | 39. CONTAMINATION PREVENTED DURING FOOD PREPARATION, STORAGE & DISPLAY - Comments: MUST ELEVATE BOXES OF COOKING OIL FROM FLOOR AND STORE PROPERLY. | 41. WIPING CLOTHS: PROPERLY USED & STORED - Comments: MUST STORE WIPING CLOTHS IN A SANITIZING SOLUTION WHEN NOT IN USE ON SURFACES. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: MUST REMOVE RUST FROM WALK-IN COOLER SHELVING UNITS.MUST REPAIR OR REPLACE DAMAGED LOWER SHELF UNDER HAND SINK VANITY IN FRONT PREP AREA. MUST REMOVE BRICKS HOLDING UP GRILL THAT HAVE EXCESSIVE GREASE BUILD UP; THEY'RE NOT EASILY CLEANABLE. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: MUST PROVIDE SINK STOPPERS FOR 3- COMPARTMENT SINK. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: MUST CLEAN GREASE AND FOOD DEBRIS BUILD UP FROM SERVICE COUNTER SHELVING UNITS, OVERHEAD STORAGE SHELVES,WALK IN COOLER FANGUARD COVERS. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: MUST REPAIR OR REPLACE LEAKY BACKFLOW DEVICE ON MOPSINK. | 54. GARBAGE & REFUSE PROPERLY DISPOSED; FACILITIES MAINTAINED - Comments: OBSERVED ALL THREE OUTSIDE GARBAGE DUMPSTERS OVERFLOWING WITH TRASH AND BOXES ABOVE RIM LIDS WIDE OPEN NOT ABLE TO CLOSE DUE TO OVERFLOWING OF GARBAGE. MUST HAVE LIDS CLOSED AND TIGHT FITTING.(PRIORITY FOUNDATION 7-38-020(B)(CITATION ISSUED) | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: MUST CLEAN DEBRIS BUILD UP FROM WALLS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: MUST CLEAN FOOD DEBRIS BUILD UP FROM FLOOR UNDER,AROUND,ALONG WALL BASES THROUGHOUT PREMISES AND FLOOR DRAINS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: MUST PROVIDE A HOOKING SYSTEM TO HANG UP WET MOPS. | 60. PREVIOUS CORE VIOLATION CORRECTED - Comments: PREVIOUS CORE VIOLATIONS FROM REPORT #2596159 6/12/24 NOT CORRECTED.#36-4-204.112(B): MUST PROVIDE A THERMOMETER FOR DESSERT COOLER.:#37- 3-302.12: MUST LABEL SQUEEZE BOTTLES AND BULK CONTAINERS WHEN FOOD IS NOT IN ORIGINAL PACKAGE. #38-6-202.15: MUST REPAIR OR REPLACE THE GAP ALONG THE BOTTOM OF THE REAR DOOR. #39-3-305.11: MUST ELEVATE FOOD PRODUCTS FROM WALK-IN FREEZER FLOOR AND PROVIDE ADEQUATE SHELVING UNITS.#45-4-903.11(A; C): MUST STORE PLASTIC WEAR WITH HANDLES IN UPRIGHT POSITION.#47-4-101.19: MUST ELIMINATE FOIL AND CARDBOARD FROM GRILL TABLE, PREP TABLES AND AROUND PIPES OF COOKING EQUIPMENT. #47-4-501.11: MUST REPAIR OR REPLACE WORN DOOR GASKETS ON 1 & 2- DOOR GLASS REACH-IN COOLER, LOOSE FANGUARD COVER IN WALK-IN FREEZER, EXTERIOR DOOR PANEL OF WALK IN COOLER IN POOR REPAIR.#47-4-501.12: MUST REPAIR OR REPLACE WORN & PITTED CUTTING BOARDS.#49-4-601.11(C): MUST CLEAN GREASE AND FOOD DEBRIS BUILD UP FROM GRILL TABLE, FRYER CABINETS, ROLLING CARTS, COUNTERTOP UNDERNEATH DRINK MACHINES.MUST REMOVE ICE FROM COMPRESSOR UNIT IN WALK-IN FREEZER.#55-6-201.13: MUST REPAIR OR REPLACE DAMAGED AND LOOSE WALL BASES IN REAR PREP/DISH WASHING AREA, MISSING CEILING TILE OVER DRINK MACHINES. #56-6-501.14: MUST CLEAN DEBRIS BUILD UP FROM BOTH FILTERS AT THE TOP OF COOKING EQUIPMENT. (PRIORITY FOUNDATION 7-42-090)(CITATION ISSUED)
2nd row2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: UPON ARRIVAL, OBSERVED NO CITY OF CHICAGO CERTIFIED FOOD MANAGER ON SITE WHILE OPEN AND OPERATING. INSTRUCTED A CITY OF CHICAGO CERTIFIED FOOD MANAGER MUST BE ON SITE AT ALL TIMES WHILE OPEN AND OPERATING. PRIORITY FOUNDATION VIOLATION 7-38-012, CITATION ISSUED | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: 6-301.14: OBSERVED NO HANDWASHING SIGNS AT EXPOSED HANDSINK IN THE BASEMENT OR IN EMPLOYEE WASHROOM; INSTRUCTED TO PROVIDE. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-501.112: OBSERVED DEAD ROACHES INSIDE THE MOP SINK BASIN IN THE BUTCHER AREA, STICKY TRAPS IN BASEMENT FLOORS, ON THE WALL NEAR THE HOOD IN THE BASEMENT PREP AREA. INSTRUCTED TO REMOVE DEAD ROACHES AND MAINTAIN. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED SHELF UNDER FOOD PREP TABLE BEHIND BUTCHER AREA WITH RUST. ALSO, OBSERVED DEBRIS ON THE SHELVES IN THE SHOPPING AISLES. INSTRUCTED TO REMOVE RUST AND DEBRIS AND MAKE SURFACE SMOOTH AND EASILY CLEANABLE.
3rd row36. THERMOMETERS PROVIDED & ACCURATE - Comments: OBSERVED NO AMBIENT AIR THERMOMETER INSIDE THE COLD HOLDING UNITS ON SITE. INSTRUCTED TO PROVIDE AND MAINTAIN. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED THE TOILET SEAT AND TOILET FIXTURES IN THE WOMEN'S TOILET ROOM IN NEED OF CLEANING. DRIED BODILY FLUID OBSERVED ON THE MENTIONED FIXTURES. INSTRUCTED TO CLEAN AND MAINTAIN.
4th row10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HANDWASHING SIGNAGE AT THE HANDWASHING SINK NEAR THE THREE COMPARTMENT SINK IN THE REAR. INSTRUCTED TO PROVIDE AND MAINTAIN. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED THE LOWER SHELVES UNDER THE FOOD PREP TABLES IN THE REAR FOOD PREP AREA WITH SLIGHT DEBRIS. INSTRUCTED TO REMOVE DEBRIS AND MAINTAIN. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: OBSERVED NO BACKFLOW PREVENTION DEVICE ON THE ICE MACHINE IN THE REAR FOOD PREP AREA. INSTRUCTED TO INSTALL AN ADEQUATE BACKFLOW PREVENTION DEVICE ON THE ICE MACHINE. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED NO LID FOR GARBAGE RECEPTACLE IN GENDER NEUTRAL TOILET ROOMS. INSTRUCTED TO PROVIDE FOR DISPOSAL OF FEMININE PRODUCTS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED THE FOLLOWING IN NEED OF CLEANING: THE CREVICES OF THE WALLBASES THROUGHOUT REAR FOOD PREP AREA ESPECIALLY UNDER THE HOT HOLDING EQUIPMENT, THE FLOOR INSIDE THE WALK-IN COOLER, WALLS UNDER THE THREE COMPARTMENT SINK AND ON THE SIDE OF THE HOT HOLDING EQUIPMENT. INSTRUCTED TO CLEAN AND MAINTAIN.
5th row10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED TOILET ROOM CLOSEST TO DINING AREA HANDWASHING SINK NOT ABLE TO RUN WATER WITHOUT LETTING GO OF MIXED WATER KNOB.INSTRUCTED TO REPAIR AND ENSURE SINK CAN RUN ATLEAST 15 SECONDS WITHOUT REACTIVATING WATER AND BEING ABLE ADEQUATELY WASH BOTH HANDS. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED EMPLOYEE LOCKER ROOM WITH A TOILET AND HANDWASHING SINK WITH A DOOR THAT IS NOT SELF CLOSING. INSTRUCTED TO REPAIR AND MAINTAIN.
ValueCountFrequency (%)
173602
 
6.5%
and 94389
 
3.5%
the 69588
 
2.6%
to 69524
 
2.6%
comments 69102
 
2.6%
in 59230
 
2.2%
food 50559
 
1.9%
instructed 47117
 
1.8%
observed 45111
 
1.7%
of 43682
 
1.6%
Other values (24797) 1939505
72.9%
2025-04-14T23:02:42.716171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2684750
15.3%
E 1517394
 
8.6%
A 1097684
 
6.2%
N 1097651
 
6.2%
I 1091625
 
6.2%
O 1083540
 
6.2%
T 1068355
 
6.1%
R 916612
 
5.2%
S 829517
 
4.7%
D 708982
 
4.0%
Other values (83) 5467108
31.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17563218
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2684750
15.3%
E 1517394
 
8.6%
A 1097684
 
6.2%
N 1097651
 
6.2%
I 1091625
 
6.2%
O 1083540
 
6.2%
T 1068355
 
6.1%
R 916612
 
5.2%
S 829517
 
4.7%
D 708982
 
4.0%
Other values (83) 5467108
31.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17563218
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2684750
15.3%
E 1517394
 
8.6%
A 1097684
 
6.2%
N 1097651
 
6.2%
I 1091625
 
6.2%
O 1083540
 
6.2%
T 1068355
 
6.1%
R 916612
 
5.2%
S 829517
 
4.7%
D 708982
 
4.0%
Other values (83) 5467108
31.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17563218
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2684750
15.3%
E 1517394
 
8.6%
A 1097684
 
6.2%
N 1097651
 
6.2%
I 1091625
 
6.2%
O 1083540
 
6.2%
T 1068355
 
6.1%
R 916612
 
5.2%
S 829517
 
4.7%
D 708982
 
4.0%
Other values (83) 5467108
31.1%

Latitude
Real number (ℝ)

High correlation 

Distinct10178
Distinct (%)46.2%
Missing90
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean41.880341
Minimum41.64467
Maximum42.021064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.8 KiB
2025-04-14T23:02:42.906858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum41.64467
5-th percentile41.727231
Q141.833326
median41.892094
Q341.938777
95-th percentile41.997197
Maximum42.021064
Range0.37639412
Interquartile range (IQR)0.10545129

Descriptive statistics

Standard deviation0.080595643
Coefficient of variation (CV)0.0019244266
Kurtosis-0.34982275
Mean41.880341
Median Absolute Deviation (MAD)0.048052099
Skewness-0.59109613
Sum921786.31
Variance0.0064956576
MonotonicityNot monotonic
2025-04-14T23:02:43.107439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.00875077 303
 
1.4%
41.85045102 85
 
0.4%
41.78932932 65
 
0.3%
41.89209414 50
 
0.2%
41.88945828 50
 
0.2%
41.8839051 40
 
0.2%
41.88199434 37
 
0.2%
41.8552817 28
 
0.1%
41.88418751 27
 
0.1%
41.88807428 27
 
0.1%
Other values (10168) 21298
96.4%
(Missing) 90
 
0.4%
ValueCountFrequency (%)
41.64467013 1
 
< 0.1%
41.64863829 2
< 0.1%
41.64936399 4
< 0.1%
41.6495578 1
 
< 0.1%
41.65017306 2
< 0.1%
41.65195797 1
 
< 0.1%
41.65239789 1
 
< 0.1%
41.65251141 3
< 0.1%
41.65279476 2
< 0.1%
41.65296461 1
 
< 0.1%
ValueCountFrequency (%)
42.02106425 4
< 0.1%
42.02086075 2
 
< 0.1%
42.02080848 2
 
< 0.1%
42.01986688 2
 
< 0.1%
42.01958216 1
 
< 0.1%
42.01949107 1
 
< 0.1%
42.01947292 1
 
< 0.1%
42.019439 2
 
< 0.1%
42.01942097 3
< 0.1%
42.01942088 6
< 0.1%

Longitude
Real number (ℝ)

High correlation 

Distinct10178
Distinct (%)46.2%
Missing90
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean-87.676176
Minimum-87.906874
Maximum-87.525094
Zeros0
Zeros (%)0.0%
Negative22010
Negative (%)99.6%
Memory size172.8 KiB
2025-04-14T23:02:43.320220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-87.906874
5-th percentile-87.784275
Q1-87.707167
median-87.665085
Q3-87.634604
95-th percentile-87.597034
Maximum-87.525094
Range0.38178
Interquartile range (IQR)0.07256303

Descriptive statistics

Standard deviation0.059562504
Coefficient of variation (CV)-0.00067934651
Kurtosis2.1718153
Mean-87.676176
Median Absolute Deviation (MAD)0.033587204
Skewness-1.027202
Sum-1929752.6
Variance0.0035476918
MonotonicityNot monotonic
2025-04-14T23:02:43.536577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.90687413 303
 
1.4%
-87.65879786 85
 
0.4%
-87.74164564 65
 
0.3%
-87.61156988 50
 
0.2%
-87.62036838 50
 
0.2%
-87.70605925 40
 
0.2%
-87.63975868 37
 
0.2%
-87.63199264 28
 
0.1%
-87.64111967 27
 
0.1%
-87.6349552 27
 
0.1%
Other values (10168) 21298
96.4%
(Missing) 90
 
0.4%
ValueCountFrequency (%)
-87.90687413 303
1.4%
-87.90530913 9
 
< 0.1%
-87.86302998 3
 
< 0.1%
-87.84631989 4
 
< 0.1%
-87.84567442 1
 
< 0.1%
-87.8448585 2
 
< 0.1%
-87.84438867 2
 
< 0.1%
-87.84407563 5
 
< 0.1%
-87.84247839 2
 
< 0.1%
-87.84108737 1
 
< 0.1%
ValueCountFrequency (%)
-87.52509414 3
 
< 0.1%
-87.52512485 8
< 0.1%
-87.52571243 2
 
< 0.1%
-87.5258717 6
< 0.1%
-87.52664793 2
 
< 0.1%
-87.52667081 3
 
< 0.1%
-87.52694018 2
 
< 0.1%
-87.52797024 3
 
< 0.1%
-87.53205799 1
 
< 0.1%
-87.5330074 2
 
< 0.1%
Distinct10178
Distinct (%)46.2%
Missing90
Missing (%)0.4%
Memory size2.0 MiB
2025-04-14T23:02:43.926519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length40
Median length39
Mean length39.050795
Min length34

Characters and Unicode

Total characters859508
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4338 ?
Unique (%)19.7%

Sample

1st row(41.750189342293375, -87.67298583977204)
2nd row(41.84995400192252, -87.63209419559098)
3rd row(41.85605269621059, -87.62731125804903)
4th row(41.97452873707269, -87.69233925845519)
5th row(41.85666310572283, -87.64178573004398)
ValueCountFrequency (%)
42.00875076599798 303
 
0.7%
87.90687413400109 303
 
0.7%
41.85045102427 85
 
0.2%
87.65879785567869 85
 
0.2%
87.74164564419637 65
 
0.1%
41.789329323265385 65
 
0.1%
41.88945828010943 50
 
0.1%
87.61156988394656 50
 
0.1%
87.62036837642913 50
 
0.1%
41.892094136861786 50
 
0.1%
Other values (20346) 42914
97.5%
2025-04-14T23:02:44.460347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 88909
10.3%
7 88209
10.3%
4 81721
9.5%
1 75734
8.8%
6 74394
8.7%
9 66955
7.8%
5 60369
 
7.0%
2 57839
 
6.7%
3 57353
 
6.7%
0 53955
 
6.3%
Other values (6) 154070
17.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 859508
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8 88909
10.3%
7 88209
10.3%
4 81721
9.5%
1 75734
8.8%
6 74394
8.7%
9 66955
7.8%
5 60369
 
7.0%
2 57839
 
6.7%
3 57353
 
6.7%
0 53955
 
6.3%
Other values (6) 154070
17.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 859508
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8 88909
10.3%
7 88209
10.3%
4 81721
9.5%
1 75734
8.8%
6 74394
8.7%
9 66955
7.8%
5 60369
 
7.0%
2 57839
 
6.7%
3 57353
 
6.7%
0 53955
 
6.3%
Other values (6) 154070
17.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 859508
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8 88909
10.3%
7 88209
10.3%
4 81721
9.5%
1 75734
8.8%
6 74394
8.7%
9 66955
7.8%
5 60369
 
7.0%
2 57839
 
6.7%
3 57353
 
6.7%
0 53955
 
6.3%
Other values (6) 154070
17.9%

Interactions

2025-04-14T23:02:34.418577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:30.268442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:31.508040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:33.079197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:33.714337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:34.602814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:30.624436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:31.739825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:33.200170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:33.835644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:34.773341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:30.831986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:31.972544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:33.341905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:33.977741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:34.916383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:31.027013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:32.758645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:33.467314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:34.094932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:35.091134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:31.252028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:32.897258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:33.592373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:02:34.222666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-04-14T23:02:44.627932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
CityInspection IDInspection TypeLatitudeLicense #LongitudeResultsRiskStateZip
City1.0000.0050.0000.0190.0000.0230.0000.0120.9990.999
Inspection ID0.0051.0000.0390.0380.053-0.0590.0440.1240.0000.033
Inspection Type0.0000.0391.0000.0430.1980.0400.4270.1920.0000.000
Latitude0.0190.0380.0431.000-0.004-0.4250.0530.0511.0000.268
License #0.0000.0530.198-0.0041.0000.0110.1110.1380.000-0.019
Longitude0.023-0.0590.040-0.4250.0111.0000.0440.0621.000-0.409
Results0.0000.0440.4270.0530.1110.0441.0000.1390.0090.009
Risk0.0120.1240.1920.0510.1380.0620.1391.0000.0110.011
State0.9990.0000.0001.0000.0001.0000.0090.0111.0001.000
Zip0.9990.0330.0000.268-0.019-0.4090.0090.0111.0001.000

Missing values

2025-04-14T23:02:35.354312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-04-14T23:02:35.653963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-04-14T23:02:36.055928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
02608378Babas HalalBabas Halal2684170.0RestaurantRisk 1 (High)7901 S DAMEN AVECHICAGOIL60620.02024-12-03ComplaintFail1. PERSON IN CHARGE PRESENT, DEMONSTRATES KNOWLEDGE, AND PERFORMS DUTIES - Comments: PIC DOESN'T HAVE A CERTIFIED FOOD MANAGERS CERTIFICATE MUST PROVIDE AND MAINTAIN.(PRIORITY FOUNDATION 7-38-012) | 2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: OBSERVED NO CERTIFIED FOOD MANAGER ON DUTY WHILE TCS FOODS ARE BEING PREPARED, HANDLED, AND SERVED, SUCH AS (FRIED CHICKEN, STEAK, GRILLED CHICKEN, TACOS, ETC.)MUST BE ON SITE AT ALL TIMES. MANAGER ARRIVED ON SITE AT 4:07 P.M. (PRIORITY FOUNDATION 7-38-012)(CITATION ISSUED) | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: THE HAND WASHING SINK WAS NOT ACCESSIBLE; OBSERVED A SMALL PAN AND A SCRUBBER INSIDE OF THE HAND SINK; ARTICLES WERE REMOVED DURING INSPECTION. MUST BE ACCESSIBLE AT ALL TIMES.(PRIORITY FOUNDATION 7-38-030(C)(CITATION ISSUED)(COS) | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO SOAP AT HAND SINK IN FRONT PREP AREA SOAP WAS PROVIDED DURING INSPECTION MUST PROVIDE AND MAINTAIN AT ALL TIMES.(PRIORITY FOUNDATION 7-38-030(C)(COS)(CONSOLIDATED VIOLATION) | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HAND DRYING DEVICES AT HAND SINK IN FRONT PREP AREA, AND STAFF TOILET ROOM PAPER TOWELS WERE PROVIDED DURING INSPECTION. MUST BE PROVIDED AND MAINTAINED AT ALL TIMES.(PRIORITY FOUNDATION 7-38-030(C)(COS)(CONSOLIDATED VIOLATION) | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: MUST PROVIDE A HAND WASHING SIGN IN TOILET ROOM. | 21. PROPER HOT HOLDING TEMPERATURES - Comments: OBSERVED IMPROPER TEMPERATURES OF COOKED FOODS SUCH AS 10 LBS. COOKED CHICKEN AT 121.8F AND 8LBS. SLICED GYROS MEAT-78.3F ON LOWER SHELF OF GRILL TABLE. THE PRODUCT WAS DISCARDED BY THE MANAGER. MUST HAVE HOT HOLDING FOODS AT 135.0F OR ABOVE. APPX. 18LBS. $50. | 22. PROPER COLD HOLDING TEMPERATURES - Comments: OBSERVED IMPROPER TEMPERATURE OF 6LBS.COOKED CHICKEN WINGS AT 61.0F IN WALK-IN COOLER.THE PRODUCT WAS DISCARDED BY THE MANAGER. MUST HAVE COLD-HOLDING FOODS AT 41.0F OR BELOW.APPX. 6LBS. $20.(PRIORITY 7-38-005)(COS)(CONSOLIDATED VIOLATION) | 39. CONTAMINATION PREVENTED DURING FOOD PREPARATION, STORAGE & DISPLAY - Comments: MUST ELEVATE BOXES OF COOKING OIL FROM FLOOR AND STORE PROPERLY. | 41. WIPING CLOTHS: PROPERLY USED & STORED - Comments: MUST STORE WIPING CLOTHS IN A SANITIZING SOLUTION WHEN NOT IN USE ON SURFACES. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: MUST REMOVE RUST FROM WALK-IN COOLER SHELVING UNITS.MUST REPAIR OR REPLACE DAMAGED LOWER SHELF UNDER HAND SINK VANITY IN FRONT PREP AREA. MUST REMOVE BRICKS HOLDING UP GRILL THAT HAVE EXCESSIVE GREASE BUILD UP; THEY'RE NOT EASILY CLEANABLE. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: MUST PROVIDE SINK STOPPERS FOR 3- COMPARTMENT SINK. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: MUST CLEAN GREASE AND FOOD DEBRIS BUILD UP FROM SERVICE COUNTER SHELVING UNITS, OVERHEAD STORAGE SHELVES,WALK IN COOLER FANGUARD COVERS. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: MUST REPAIR OR REPLACE LEAKY BACKFLOW DEVICE ON MOPSINK. | 54. GARBAGE & REFUSE PROPERLY DISPOSED; FACILITIES MAINTAINED - Comments: OBSERVED ALL THREE OUTSIDE GARBAGE DUMPSTERS OVERFLOWING WITH TRASH AND BOXES ABOVE RIM LIDS WIDE OPEN NOT ABLE TO CLOSE DUE TO OVERFLOWING OF GARBAGE. MUST HAVE LIDS CLOSED AND TIGHT FITTING.(PRIORITY FOUNDATION 7-38-020(B)(CITATION ISSUED) | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: MUST CLEAN DEBRIS BUILD UP FROM WALLS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: MUST CLEAN FOOD DEBRIS BUILD UP FROM FLOOR UNDER,AROUND,ALONG WALL BASES THROUGHOUT PREMISES AND FLOOR DRAINS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: MUST PROVIDE A HOOKING SYSTEM TO HANG UP WET MOPS. | 60. PREVIOUS CORE VIOLATION CORRECTED - Comments: PREVIOUS CORE VIOLATIONS FROM REPORT #2596159 6/12/24 NOT CORRECTED.#36-4-204.112(B): MUST PROVIDE A THERMOMETER FOR DESSERT COOLER.:#37- 3-302.12: MUST LABEL SQUEEZE BOTTLES AND BULK CONTAINERS WHEN FOOD IS NOT IN ORIGINAL PACKAGE. #38-6-202.15: MUST REPAIR OR REPLACE THE GAP ALONG THE BOTTOM OF THE REAR DOOR. #39-3-305.11: MUST ELEVATE FOOD PRODUCTS FROM WALK-IN FREEZER FLOOR AND PROVIDE ADEQUATE SHELVING UNITS.#45-4-903.11(A; C): MUST STORE PLASTIC WEAR WITH HANDLES IN UPRIGHT POSITION.#47-4-101.19: MUST ELIMINATE FOIL AND CARDBOARD FROM GRILL TABLE, PREP TABLES AND AROUND PIPES OF COOKING EQUIPMENT. #47-4-501.11: MUST REPAIR OR REPLACE WORN DOOR GASKETS ON 1 & 2- DOOR GLASS REACH-IN COOLER, LOOSE FANGUARD COVER IN WALK-IN FREEZER, EXTERIOR DOOR PANEL OF WALK IN COOLER IN POOR REPAIR.#47-4-501.12: MUST REPAIR OR REPLACE WORN & PITTED CUTTING BOARDS.#49-4-601.11(C): MUST CLEAN GREASE AND FOOD DEBRIS BUILD UP FROM GRILL TABLE, FRYER CABINETS, ROLLING CARTS, COUNTERTOP UNDERNEATH DRINK MACHINES.MUST REMOVE ICE FROM COMPRESSOR UNIT IN WALK-IN FREEZER.#55-6-201.13: MUST REPAIR OR REPLACE DAMAGED AND LOOSE WALL BASES IN REAR PREP/DISH WASHING AREA, MISSING CEILING TILE OVER DRINK MACHINES. #56-6-501.14: MUST CLEAN DEBRIS BUILD UP FROM BOTH FILTERS AT THE TOP OF COOKING EQUIPMENT. (PRIORITY FOUNDATION 7-42-090)(CITATION ISSUED)41.750189-87.672986(41.750189342293375, -87.67298583977204)
12609909HAPPY MARKETHAPPY MARKET2912802.0Grocery StoreRisk 2 (Medium)2334 S WENTWORTH AVECHICAGOIL60616.02025-01-02CanvassPass w/ Conditions2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: UPON ARRIVAL, OBSERVED NO CITY OF CHICAGO CERTIFIED FOOD MANAGER ON SITE WHILE OPEN AND OPERATING. INSTRUCTED A CITY OF CHICAGO CERTIFIED FOOD MANAGER MUST BE ON SITE AT ALL TIMES WHILE OPEN AND OPERATING. PRIORITY FOUNDATION VIOLATION 7-38-012, CITATION ISSUED | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: 6-301.14: OBSERVED NO HANDWASHING SIGNS AT EXPOSED HANDSINK IN THE BASEMENT OR IN EMPLOYEE WASHROOM; INSTRUCTED TO PROVIDE. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-501.112: OBSERVED DEAD ROACHES INSIDE THE MOP SINK BASIN IN THE BUTCHER AREA, STICKY TRAPS IN BASEMENT FLOORS, ON THE WALL NEAR THE HOOD IN THE BASEMENT PREP AREA. INSTRUCTED TO REMOVE DEAD ROACHES AND MAINTAIN. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED SHELF UNDER FOOD PREP TABLE BEHIND BUTCHER AREA WITH RUST. ALSO, OBSERVED DEBRIS ON THE SHELVES IN THE SHOPPING AISLES. INSTRUCTED TO REMOVE RUST AND DEBRIS AND MAKE SURFACE SMOOTH AND EASILY CLEANABLE.41.849954-87.632094(41.84995400192252, -87.63209419559098)
22609927SAT KAIVAL FOOD INC/SUBWAYSAT KAIVAL FOOD INC/SUBWAY2728400.0RestaurantRisk 1 (High)1916 S STATE STCHICAGOIL60616.02025-01-02CanvassPass36. THERMOMETERS PROVIDED & ACCURATE - Comments: OBSERVED NO AMBIENT AIR THERMOMETER INSIDE THE COLD HOLDING UNITS ON SITE. INSTRUCTED TO PROVIDE AND MAINTAIN. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED THE TOILET SEAT AND TOILET FIXTURES IN THE WOMEN'S TOILET ROOM IN NEED OF CLEANING. DRIED BODILY FLUID OBSERVED ON THE MENTIONED FIXTURES. INSTRUCTED TO CLEAN AND MAINTAIN.41.856053-87.627311(41.85605269621059, -87.62731125804903)
32610482DANCEN GRILL RESTAURANT, INC.DANCEN2341747.0RestaurantRisk 1 (High)5114 N LINCOLN AVECHICAGOIL60625.02025-01-14Non-InspectionNo EntryNaN41.974529-87.692339(41.97452873707269, -87.69233925845519)
42610081MARYS TAQUERIA AND GROCERY STORE, INC.MARYS FOOD AND GROCERY STORE2326530.0RestaurantRisk 1 (High)1901 S CANALPORT AVECHICAGOIL60616.02025-01-06CanvassPass10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HANDWASHING SIGNAGE AT THE HANDWASHING SINK NEAR THE THREE COMPARTMENT SINK IN THE REAR. INSTRUCTED TO PROVIDE AND MAINTAIN. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED THE LOWER SHELVES UNDER THE FOOD PREP TABLES IN THE REAR FOOD PREP AREA WITH SLIGHT DEBRIS. INSTRUCTED TO REMOVE DEBRIS AND MAINTAIN. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: OBSERVED NO BACKFLOW PREVENTION DEVICE ON THE ICE MACHINE IN THE REAR FOOD PREP AREA. INSTRUCTED TO INSTALL AN ADEQUATE BACKFLOW PREVENTION DEVICE ON THE ICE MACHINE. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED NO LID FOR GARBAGE RECEPTACLE IN GENDER NEUTRAL TOILET ROOMS. INSTRUCTED TO PROVIDE FOR DISPOSAL OF FEMININE PRODUCTS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED THE FOLLOWING IN NEED OF CLEANING: THE CREVICES OF THE WALLBASES THROUGHOUT REAR FOOD PREP AREA ESPECIALLY UNDER THE HOT HOLDING EQUIPMENT, THE FLOOR INSIDE THE WALK-IN COOLER, WALLS UNDER THE THREE COMPARTMENT SINK AND ON THE SIDE OF THE HOT HOLDING EQUIPMENT. INSTRUCTED TO CLEAN AND MAINTAIN.41.856663-87.641786(41.85666310572283, -87.64178573004398)
52610172KOTOKOTO2872350.0RestaurantRisk 1 (High)258 W 31ST STCHICAGOIL60616.02025-01-07CanvassPass10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED TOILET ROOM CLOSEST TO DINING AREA HANDWASHING SINK NOT ABLE TO RUN WATER WITHOUT LETTING GO OF MIXED WATER KNOB.INSTRUCTED TO REPAIR AND ENSURE SINK CAN RUN ATLEAST 15 SECONDS WITHOUT REACTIVATING WATER AND BEING ABLE ADEQUATELY WASH BOTH HANDS. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED EMPLOYEE LOCKER ROOM WITH A TOILET AND HANDWASHING SINK WITH A DOOR THAT IS NOT SELF CLOSING. INSTRUCTED TO REPAIR AND MAINTAIN.41.838316-87.634045(41.83831568602238, -87.6340451596087)
62610336SHARKS FISH-CHICKENSHARKS FISH-CHICKEN2079668.0RestaurantRisk 2 (Medium)250-252 E 35TH STCHICAGOIL60616.02025-01-10CanvassOut of BusinessNaN41.831187-87.619788(41.831187404696436, -87.61978768516512)
72611120Big Hill CantinaBig Hill Bar & Grill1678004.0RestaurantRisk 1 (High)3307 W BRYN MAWR AVECHICAGOIL60659.02025-01-27Non-InspectionNo EntryNaN41.982925-87.711613(41.982925247986955, -87.71161308569827)
82610622JEWEL-OSCO #3181JEWEL-OSCO2977880.0Grocery StoreRisk 3 (Low)87 W 87TH STCHICAGOIL60620.02025-01-15CanvassOut of BusinessNaN41.736145-87.626918(41.7361451282369, -87.62691784397349)
92610361MOMENTUM COFFEEMOMENTUM COFFEE2708683.0RestaurantRisk 1 (High)2119 S STATE STCHICAGOIL60616.02025-01-13CanvassPass w/ Conditions22. PROPER COLD HOLDING TEMPERATURES - Comments: OBSERVED IMPROPER COLD HOLDING TEMPERATURES OF TCS FOODS STORED INSIDE THE REFRIGERATOR AT THE FRONT PREP/SERVICE AREA. 10 CARTONS OF HEAVY WHIPPING CREAM FOUND AT 56.8F-60.0F AND CHEDDAR CHEESE FOUND AT 50.6F. MANAGER DISCARDED APPROXIMATELY 14LBS AT $100 WORTH OF PRODUCT. MUST HAVE COLD HOLDING FOODS AT 41.0F OR BELOW. PRIORITY 7-38-005, CITATION ISSUED | 33. PROPER COOLING METHODS USED; ADEQUATE EQUIPMENT FOR TEMPERATURE CONTROL - Comments: OBSERVED AN IMPROPER TEMPERATURE OF A REFRIGERATOR AT 50.9F WITH TCS FOODS STORED INSIDE FOR SALE. A HELD FOR INSPECTION TAG PLACED ON THE UNIT. ONCE REPAIRED, PLEASE REVIEW COMMENTS FOR TAG REMOVAL. MUST HAVE COLD HOLDING UNITS AT 41.0F OR BELOW. PRIORITY 7-38-005, CITATION ISSUSED | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED THE FRONT ENTRANCE DOOR SWEEP SLIGHTLY DAMAGED AT THE BOTTOM THE RIGHT SIDE OF THE DOOR. INSTRUCTED TO REPAIR AND MAINTAN. | 44. UTENSILS, EQUIPMENT & LINENS: PROPERLY STORED, DRIED, & HANDLED - Comments: OBSERVED CLEAR FOOD STORAGE CONTAINERS NOT INVERTED ON THE LOWER SHELF NEXT TO THE THREE COMPARTMENT SINK. INSTRUCTED TO INVERT AND MAINTAIN. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED THE MANAGER ON SITE WITH NO ALLERGEN TRAINING CERTIFICATE ON SITE. INSTRUCTED ALL CERTIFIED FOOD MANAGERS MUST TAKE ALLERGEN COURSE AND MAINTAIN RECORDS ON SITE.41.853650-87.626956(41.85364982727399, -87.62695608899325)
Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
220902610834GIORDANO'S PIZZAGIORDANO'S PIZZA35634.0RestaurantRisk 1 (High)5927 W IRVING PARK RDCHICAGOIL60634.02025-01-22Non-InspectionNo EntryNaN41.952962-87.775414(41.95296188094511, -87.77541370832724)
220912610022TACO BELL CANTINATACO BELL2831664.0RestaurantRisk 1 (High)1160 N CLARK STCHICAGOIL60610.02025-01-06CanvassPass39. CONTAMINATION PREVENTED DURING FOOD PREPARATION, STORAGE & DISPLAY - Comments: OBSERVED BOXES OF FROZEN PRODUCTS ON THE FLOOR OF THE WALK IN FREEZER LOCATED IN THE BASEMENT OF THE FACILITY. INSTRUCTED TO REMOVE AND KEEP ITEMS LIFTED OFF THE FLOOR ELEVATED AT LEAST SIX INCHES. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED A BUILD UP OF DIRT AND DEBRIS UNDER AND AROUND THE SLUSHY STATION AS WELL AS THE BEVERAGE STATION. INSTRUCTED TO CLEAN AND MAINTAIN AREAS AS NEEDED. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED THE FLOORS IN THE FRONT AND REAR OF THE FACILITY WITH A BUILD UP OF DIRT AND SMALL DEBRIS UNDER EQUIPMENT ALONG THE CORNERS OF THE WALLS AND SPILLAGE ON THE FLOOR UNDER THE SODA MACHINE IN THE FRONT SERVICE AREA. INSTRUCTED TO CLEAN AND MAINTAIN ALL AREAS AS A MEANS OF PREVENTING POSSIBLE PEST AND OR INSECT ACTIVITY.41.903609-87.631583(41.903609451824686, -87.63158311098476)
220922610538FADO IRISH PUBFADO IRISH PUB53945.0RestaurantRisk 1 (High)100 W GRAND AVECHICAGOIL60610.02025-01-14Non-InspectionNo EntryNaN41.891735-87.631202(41.891735020379166, -87.63120168879202)
220932610806HILTON O'HAREHILTON O'HARE/ANDIAMO'S/CAFFE MERCATO2647047.0RestaurantRisk 1 (High)11601 W TOUHY AVECHICAGOIL60666.02025-01-22Canvass Re-InspectionPass43. IN-USE UTENSILS: PROPERLY STORED - Comments: NOTED SERVING PLATES ON SHELVES AT THE DISH WASHING AREA NOT PROPERLY STORED. INSTRUCTED TO INVERT ALL SERVING PLATES TO PREVENT DUST ACCUMULATION. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: NOTED CUTTING BOARDS WITH OPEN SEAMS AND DARK STAINS AT THE KITCHEN PREP AREA. MUST REFINISH OR REPLACE DAMAGED OR STAINED CUTTING BOARDS. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: NOTED A SLIMY AND GREY SUBSTANCE INSIDE THE SODA GUN DISPENSER AT THE BAR. INSTRUCTED TO CLEAN, SANITIZE AND MAINTAIN. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: INSTRUCTED TO CLEAN FLOORS, AND FLOOR DRAINS ESPECIALLY AT THE DISH WASHING AREA, THE BAR AND THE MIDDLE PREP AREA AT THE KITCHEN.42.008751-87.906874(42.00875076599798, -87.90687413400109)
220942610859MOY LEEMOY LEE2877054.0RestaurantRisk 1 (High)5346 N MILWAUKEE AVECHICAGOIL60630.02025-01-22ComplaintPassNaN41.977764-87.769830(41.97776393135019, -87.76982985082259)
220952610937DAPPER'S EAST RESTAURANTDAPPER'S EAST RESTAURANT12540.0RestaurantRisk 1 (High)2901 W ADDISON STCHICAGOIL60618.02025-01-23Complaint Re-InspectionPass47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: 4-202.16 OBSERVED RUST ON STROAGE SHELVES IN THE WALK-IN COOLER AND WALK-IN FREEZER IN THE REAR PREP AREA. INSTRUCTED THE PERSON IN CHARGE TO REMOVE RUST AND ENSURE ALL NONFOOD-CONTACT SURFACES REMAIN SMOOTH AND EASILY CLEANABLE. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: 4-602.13 OBSERVED ACCUMULATED FOOD FOOD DEBRIS ON INTERIOR SURFACES OF ALL COLD HOLDING EQUIPMENT IN REAR PREP AREAS. INSTRUCTED THE PERSON IN CHARGE TO DETAIL CLEAN AND MAINTAIN.41.946553-87.700536(41.94655282616904, -87.700535765616)
220962610845SHARPIE'SSHARPIE'S3002203.0RestaurantRisk 3 (Low)1721 N ELSTON AVECHICAGOIL60642.02025-01-22LicenseNot ReadyNaN41.913729-87.664223(41.91372879440366, -87.66422290709808)
220972610409ACE SUSHI @POTASH MARKETACE SUSHI2808766.0RestaurantRisk 1 (High)875 N STATE STCHICAGOIL60610.02025-01-13CanvassPass55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED SMALL DEBRIS ON FLOOR IN PREP AREA. INSTRUCTED TO CLEAN AND MAINTAIN AREA. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED NOT ALLERGEN TRAINING CERTIFICATE ON SITE FOR TU CHIN LIAN. INSTRUCTED TO OBTAIN AND PROVIDE ON SITE.41.898878-87.628111(41.89887819742381, -87.6281111483033)
220982610823Kitchen Chicago, LLCKitchen Chicago, LLC2119905.0Shared KitchenRisk 1 (High)324 N LEAVITT STCHICAGOIL60612.02025-01-22CanvassPass49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: CLEAN THE STORAGE SHELVES IN ZELLA'S STORAGE CLOSET. CLEAN THE PREP TABLE UNDERNEATH THE GRILL IN THE EAST PREP AREA. CLEAN THE TOP OF THE DISHMACHINE. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: CLEAN THE FLOOR IN ZELLA'S STORAGE CLOSET. CLEAN THE WALLS BEHIND THE GRILL AND STOVE IN THE EAST AND WEST PREP AREAS. REPAINT THE WALL NEXT TO THE GRILL IN THE EAST PREP AREA WHERE THE PAINT IS CHIPPED.41.887434-87.681849(41.88743405025222, -87.68184949426895)
220992610068HANNAH'S BRETZEL 227 W. MONROE LLCHANNAH'S BRETZEL2428372.0RestaurantRisk 1 (High)227 W MONROE STCHICAGOIL60606.02025-01-06CanvassPass37. FOOD PROPERLY LABELED; ORIGINAL CONTAINER - Comments: Water spray bottles not labeled, Instructed to label.41.880539-87.634592(41.88053924995021, -87.63459246351388)